Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance.
Sirine AmmarThierry BouwmansNizar ZaghdenMahmoud NejiPublished in: IET Image Process. (2020)
Keyphrases
- video surveillance
- moving objects
- background subtraction
- motion detection
- motion segmentation
- moving object detection
- computer vision
- background modeling
- pattern recognition
- feature space
- support vector machine
- detection algorithm
- object tracking
- event detection
- training set
- feature selection
- spatio temporal
- detection of moving objects
- pedestrian tracking
- image sequences
- smoke detection
- support vector
- background model
- moving camera
- segmentation algorithm
- video sequences
- feature vectors
- feature extraction
- foreground objects
- training data
- appearance model
- text classification
- image classification
- image segmentation
- optical flow
- object recognition
- preprocessing
- action recognition
- multiscale
- dynamic scenes
- pairwise
- unsupervised learning
- supervised learning
- object detection
- learning algorithm